Preprint
Jul 2026
NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization
This work proposes NeurGO, a generative MetaBBO framework that directly synthesizes elite candidates from historical population states and designs a quality-diversity loss to maintain solution quality and population diversity throughout the search.
Jintao He, Huixiang Zhen, Wenyin Gong
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